derek.holloway
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87 lines
3.7 KiB
MLIR
87 lines
3.7 KiB
MLIR
// RUN: mlir-opt -test-convert-to-spirv -split-input-file %s | FileCheck %s
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module attributes {
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gpu.container_module,
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spirv.target_env = #spirv.target_env<#spirv.vce<v1.3, [Kernel, Addresses, Groups, GroupNonUniformArithmetic, GroupUniformArithmeticKHR], []>, #spirv.resource_limits<>>
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} {
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gpu.module @kernels {
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// CHECK-LABEL: spirv.func @all_reduce
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// CHECK-SAME: (%[[ARG0:.*]]: f32)
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// CHECK: %{{.*}} = spirv.GroupNonUniformFAdd <Workgroup> <Reduce> %[[ARG0]] : f32 -> f32
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gpu.func @all_reduce(%arg0 : f32) kernel
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attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [16, 1, 1]>} {
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%reduced = gpu.all_reduce add %arg0 {} : (f32) -> (f32)
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gpu.return
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}
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}
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}
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// -----
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module attributes {
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gpu.container_module,
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spirv.target_env = #spirv.target_env<#spirv.vce<v1.3, [Kernel, Addresses, Groups, GroupNonUniformArithmetic, GroupUniformArithmeticKHR], []>, #spirv.resource_limits<>>
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} {
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gpu.module @kernels {
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// CHECK-LABEL: spirv.func @subgroup_reduce
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// CHECK-SAME: (%[[ARG0:.*]]: f32, [[BUF:.*]]: !spirv.ptr{{[^)]*}})
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// CHECK: %{{.*}} = spirv.GroupNonUniformFAdd <Subgroup> <Reduce> %[[ARG0]] : f32 -> f32
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gpu.func @subgroup_reduce(%arg0 : f32, %buf : memref<f32>) kernel
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attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [16, 1, 1]>} {
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%reduced = gpu.subgroup_reduce add %arg0 {} : (f32) -> (f32)
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memref.store %reduced, %buf[] : memref<f32>
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gpu.return
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}
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}
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}
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// -----
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module attributes {
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gpu.container_module,
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spirv.target_env = #spirv.target_env<
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#spirv.vce<v1.0, [Shader], [SPV_KHR_storage_buffer_storage_class]>, #spirv.resource_limits<>>
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} {
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// CHECK-LABEL: spirv.module @{{.*}} Logical GLSL450
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// CHECK-LABEL: spirv.func @load_store
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// CHECK-SAME: %[[ARG0:.*]]: !spirv.ptr<!spirv.struct<(!spirv.array<48 x f32, stride=4> [0])>, StorageBuffer> {spirv.interface_var_abi = #spirv.interface_var_abi<(0, 0)>}
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// CHECK-SAME: %[[ARG1:.*]]: !spirv.ptr<!spirv.struct<(!spirv.array<48 x f32, stride=4> [0])>, StorageBuffer> {spirv.interface_var_abi = #spirv.interface_var_abi<(0, 1)>}
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// CHECK-SAME: %[[ARG2:.*]]: !spirv.ptr<!spirv.struct<(!spirv.array<48 x f32, stride=4> [0])>, StorageBuffer> {spirv.interface_var_abi = #spirv.interface_var_abi<(0, 2)>}
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gpu.module @kernels {
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gpu.func @load_store(%arg0: memref<12x4xf32, #spirv.storage_class<StorageBuffer>>, %arg1: memref<12x4xf32, #spirv.storage_class<StorageBuffer>>, %arg2: memref<12x4xf32, #spirv.storage_class<StorageBuffer>>, %arg3: index, %arg4: index, %arg5: index, %arg6: index) kernel
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attributes {spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [16, 1, 1]>} {
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// CHECK: %[[PTR1:.*]] = spirv.AccessChain %[[ARG0]]
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// CHECK-NEXT: spirv.Load "StorageBuffer" %[[PTR1]]
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// CHECK: %[[PTR2:.*]] = spirv.AccessChain %[[ARG1]]
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// CHECK-NEXT: spirv.Load "StorageBuffer" %[[PTR2]]
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// CHECK: spirv.FAdd
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// CHECK: %[[PTR3:.*]] = spirv.AccessChain %[[ARG2]]
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// CHECK-NEXT: spirv.Store "StorageBuffer" %[[PTR3]]
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%0 = gpu.block_id x
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%1 = gpu.block_id y
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%2 = gpu.block_id z
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%3 = gpu.thread_id x
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%4 = gpu.thread_id y
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%5 = gpu.thread_id z
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%6 = gpu.grid_dim x
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%7 = gpu.grid_dim y
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%8 = gpu.grid_dim z
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%9 = gpu.block_dim x
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%10 = gpu.block_dim y
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%11 = gpu.block_dim z
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%12 = arith.addi %arg3, %0 : index
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%13 = arith.addi %arg4, %3 : index
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%14 = memref.load %arg0[%12, %13] : memref<12x4xf32, #spirv.storage_class<StorageBuffer>>
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%15 = memref.load %arg1[%12, %13] : memref<12x4xf32, #spirv.storage_class<StorageBuffer>>
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%16 = arith.addf %14, %15 : f32
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memref.store %16, %arg2[%12, %13] : memref<12x4xf32, #spirv.storage_class<StorageBuffer>>
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gpu.return
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}
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}
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}
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